International Journal of Trend in Scientific
Research and Development (IJTSRD)
International Open Access Journal
ISSN No: 2456 - 6470 | www.ijtsrd.com | Volume - 2 | Issue – 1
IOT based Smart Home Automation ffor
or Car Theft
Prevention u
using Image Processing
R. Tharani
PG Scholar, Department of Computer
Science
cience and Engineering, Anna University
Regional Campus, Coimbatore
P. R. Harshani
PG Scholar, Department of Computer
Science
cience and Engineering, Anna University
Regional Campus, Coimbatore
Dr. M. Newlin Rajkumar
Assistant Professor, Department of Computer
Science
cience and Engineering, Anna University
Regional Campus, Coimbatore
S. Rajalakshmi
PG Scholar, Department of Computer
Science
cience and Engineering, Anna University
Regional Campus, Coimbatore
ABSTRACT
This paper introduces car theft prevention using Face
recognition in IoT base Home automation. Internet of
things is of connecting of all the devices such as
sensors actuators and other embedded devices tthrough
communication protocol. Iot is used in Home
Automation for controlling Home appliances such as
controlling home door, getting information about room
temperature gas leakage and fire alarm notification in
home from anywhere in the world. Nowadays car theft
prevention is important to keep our Car secure and safe
in Home this paper uses automatic gate open lock
system to secure the car in home using controllers and
RFID Transmitter and Receiver. Face Recognition
System is used to get the accuracy in ima
images of a
person check the person entering in home and the
person trying to drive a car is authorized or
unauthorized.
gates to control electrical and electronic appliances
using various control system with appropriate sensor
Keywords:: Home Automation, car
recognition, controllers, sensors, RFID
Face recognition system is used to check whether the
person trying to take the car is authorized or
unauthorized by using face detection, Transformation
and classification methods
theft
Face
INTRODUCTION
Home Automation is one of the automati
automation systems
used for controlling Home Appliances automatically. It
is used for controlling Indoor, outdoor, lights
lights, air
conditioning in the house,, to lock or open the doors and
Advantages of Home Automation
 Security
 Energy Efficiency
 Convenience, Comfort
 Peace of mind
Car Theft Prevention
Keeping Vehicle safe and secure at all the times should
be of Prime importance because none of us obviously
ever want to face the situation of our car being stolen it
is important to secure and safeguard vehicle effectively.
This paper introduces automatic gate lock and unlocks
system
stem in home to prevent the car from theft.
SYSTEM OVERVIEW
Home automation
ion is important to reduce the human
stress and save the times by controlling the home using
internet of things here the PIR sensors, Temperature
@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 1 | Nov-Dec
Dec 2017
Page: 1307
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470
sensors, Gas leakage sensors, fire alarms are used in If the person trying to take the car is authorized then the
home to detect all the changes and send notification to gates will automatically opened .if he/she is an
the user using Internet Of things one can also control unauthorized person the gate cannot be opened .hence
the home appliances from anywhere. There are unauthorized person cannot be able to drive the car.
different sensors used in home automation which
senses the variation in temperature, gas leakage and FACE RECOGNITION
sends notification to the user.
This paper face recognition is commonly used for home
automation and car theft prevention. Face recognition is
Types of Sensors
important to identifying and verify a person from a
 Temperature sensor: to detect the variations in digital image or video frame or from a video source.
room temperature
This paper face recognition is used in home automation
 Gas sensor: To identify the gas leakage
and car theft prevention security purposes whether the
 Fire alarm: Fire alarm triggered when something person entering the home and car is authorized person
out of ordinary happens in home
or unauthorized person.
 PIR sensor: measure the infrared light radiating
The following steps are used in face recognition
from objects
 Face detection
 Feature Extraction
Arduino microcontroller compatible with many
 Classification techniques
physical devices ESP8266 Wi-fi module is used which
is connected with various sensors .if the sensor sensing
any changes in home it will send notification to the user This paper LDTrP Local Derivative Tetra Pattern and
and user can control the home appliances from convolutional neural network system is used.
anywhere in the world by webserver page connected
LDTrP algorithm is used to alleviate the face
via internet to the controller placed in the home.
recognition rate under real-time challenges LDTrP
encodes the relationship between the reference pixel
CAR THEFT PREVENTION
and its neighbors in both vertical and horizontal
Today era it the use of vehicle is much must important directions. It matches the most relevant images from
for everyone. Sometime the ratio of vehicle theft the databases. The method considers only 900 because
increasing day rapidly. Hence it is important to detect human face is vertically symmetrical.
and prevent the car theft in home.
Therefore LDTrP histogram feature extraction from the
Here there exists face recognition system which is used local region Ri .the region do not have any fixed shape.
to compare the pictures with the images stored in the if the region selected is circle, then Spatial histogram
database .once the person enters into their car and tries .therefore LDTrP combines higher order directional
to drive the car the camera fixed inside the car takes the feature from both LDP and LTrP. Using this algorithm
photo of his/her face and compares it with the pictures in face recognition gives higher accuracy rate.
stored in the database to check whether he/she is an
authorized or unauthorized person using face CNN convolutional neural network is used in face
recognition.
recognituion. It is trained to detect and recognize face
If he/she is an unauthorized person the arduino images.
Applying
feature
extraction
using
microcontroller and Relay circuit disconnects the convolutional neural network to normalized data causes
electrical connectivity to which is used to start the car. the system to cope with faces subject to pose and
Therefore electrical connections are not activated lighting variations.
he/she cannot able to start the car.
Convolutional neural network is a feed forward neural
If unauthorized person tries to take the car the RFID network with ability of extracting topological properties
transmitter immediately sends message to the RFID from the input image. CNN extracts features from the
receiver kept on the gate which is connected to the raw image and then a classifier classifies extracted
arduino microcontroller and relay circuit which controls features. The features are invariance to distortions and
the Gate motors to automatically lock and open.
simple geometric transformations like translation,
scaling, rotation and squeezing.
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International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470
Therefore convolutional neural network combines three It is used in face recognition it has a wide range of
architectural ideas to ensure some degree of shift, scale, applications such as face detection and recognition,
and distortion invariance. The network is usually gender recognition, object recognition, character
trained like a standard neural network by back recognition and texture recognit
propagation.
HOME AUTOMATION
CAR THEFT PREVENTION
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Page: 1309
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470
IMPLEMENTATION
In this paper for home automation we use various
sensors which is connected to temperature sensor, gas
sensor and various sensors. ESP8266 is used which is
connected to the cloud and user can control the home
appliances from anywhere.
Car theft prevention uses Arduino UNO with ESP8266
connected to gate motor for the purpose of automatic
gate and open
The person entering the car is unauthorized RFID
transmitter sends the message to the RFID receiver kept
in a gate motor.
RESULTS
In this paper home automation using and by various
sensors such as gas sensor and temperature sensors are
used and using arduino Uno and ESP8266 user can
control home appliances from anywhere. Car theft
prevention is made using RIFD transmitter and RIFD
receiver which transmits and receives the data .by
receiving the data if the person is unauthorized
controller controls the gate automatically. face
Local Derivative tetra pattern and convolutional neural
network is used .to get more accuracy and to get a
better performance
recognition is used both in home automation and
cartheft prevention.
CONCLUSION
By using IoT in home automation is very useful for
elderly peoples and disabled peoples in home to control
the home appliances without direct human intreption
car theft prevention is more helpful and useful to
safeguard our cars in home. Face recognition using
LDTrP and CNN networks where used .further
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International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470
enhancing the algorithms in future work gives more 6. Md. Abdur Rahim, Md. Nijmul Hossain, Tanzillah
accuracy.
Wahid and Md.Shafiul Azam “Face Recognition
using Local Binary Patterns” Global journal of
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